Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach-Reference-Cited by-同舟云学术

Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach

Author:

Li Yuanzheng¹^ORCID,He Shangyang²,Li Yang³^ORCID,Ge Leijiao⁴^ORCID,Lou Suhua⁵^ORCID,Zeng Zhigang¹^ORCID

Affiliation:

1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

2. China-EU Institute for Clean and Renewable Energy, Huazhong University of Science and Technology, Wuhan, China

3. School of Electrical Engineering, Northeast Electric Power University, Jilin, China

4. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China

5. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Tencent Rhinoceros Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

Reference31 articles.

1. Proximal policy optimization algorithms;schulman;arXiv 1707 06347,2017

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